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Toplam kayıt 10, listelenen: 1-10
Effect of non-Gaussian noise and primary user traffic on detection performance in cognitive radio [Bilissel Radyoda Gauss Olmayan Gürültünün ve Birincil Kullanici Trafi?inin Algilama B?sarimina Etkisi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, for channels containing primary user traffic, we investigate how non-Gaussian noise model affects detection performance in cognitive radio. As decision statistic, energy detector has been preferred by ...
Performance analysis of rule based automatic SNN algorithm on big data sets [Kural tabanli otomatik SNN algoritmasinin büyük veri setleri üzerindeki performans incelemesi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
Clustering is defined as the classification of patterns into groups (clusters) without supervision. The clustering of similarities of data is a complex process that can not be done with human hands. There are various ...
Convolution kernel size effect on convolutional neural network in histopathological image processing applications
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, the change in the classification success of the convolutional neural network (CNN) is investigated when the dimensions of the convolution window are altered. For this purpose, four different linear convolution ...
Weighting and classification of image features using optimization algorithms
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, importance ratios of features extracted from images using feature extraction algorithms are examined. A significance coefficient is determined for each feature parameter. The number of features is reduced ...
A new pseudo random number generator based on Chebyshev maps and parameter switching
(Institute of Electrical and Electronics Engineers Inc., 2018)
Digital implementations of chaotic systems are periodic and they are degraded versions of the original chaotic system. Hence, all digital pseudo random number generators based on chaotic systems inherently contain several ...
Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA
(Elsevier B.V., 2018)
Classification of histopathologic images and identification of cancerous areas is quite challenging due to image background complexity and resolution. The difference between normal tissue and cancerous tissue is very small ...
Effects of Histopathological Image Pre-processing on Convolutional Neural Networks
(Elsevier B.V., 2018)
In this study, classification performance of histopathological images which are processed by pre-processing algorithms using convolutional neural network structure is examined. The images are divided into four different ...
An Efficient Retinal Blood Vessel Segmentation using Morphological Operations
(IEEE, 2018)
The structure of retinal vessel carries information about many diseases. It is difficult to analyze this complex structure by human eye. Additionally, it has time-consuming process. In this study, an extremely lower complex ...